Why This Job is Featured on The SaaS Jobs
This Product Manager role sits at the intersection of SaaS scale and internal platform building, focused on the data capabilities that underpin product development. In a mature, global subscription business, data collection, governance, and access become foundational infrastructure, and the remit spans not just pipelines and storage but the usability of data for a broad internal “customer base” of builders. The mention of AI agents influencing data workflows signals a platform domain that is evolving alongside modern SaaS product delivery.
For a SaaS product career, platform and developer tooling work builds durable skills in operating models that repeat across companies: defining success metrics for adoption, balancing build buy partner decisions, and shaping roadmaps where reliability and self serve experience matter as much as features. The role also reinforces cross functional leadership in environments where engineering, analytics, and ML stakeholders have distinct needs and vocabularies.
This position is best suited to product managers who enjoy technical problem spaces and prefer working through influence rather than direct authority. It will appeal to those who like translating complex systems into clear priorities, and who are motivated by improving how other teams ship and learn, not only what end users see.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Mission Statement
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
About the Team
We are looking for a passionate Product Manager to join Spotify’s Data Platform Studio. Data Platform’s mission is to enable the application of data in an intuitive and efficient way—helping Spotify extract value from data at scale.
Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, and analysts who build Spotify’s products. With AI agents increasingly writing data pipelines and powering personalization, this is one of the most consequential infrastructure domains at Spotify.
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What You'll Do
- Understand the needs of Spotify’s data community—including engineers, analysts, data scientists, ML engineers, and AI agents—and prioritize the most impactful problems to solve
- Define and drive the strategy and roadmap for your product area, connecting it to the broader Platform and company strategy
- Evaluate solutions across build, buy, or partner approaches to improve how Spotify works with data
- Define success metrics and track adoption, creating a continuous loop of learning and iteration
- Collaborate closely with engineering, design, and data science to deliver intuitive, high-impact solutions
- Build strong relationships with internal teams to gather feedback and co-evolve tooling and capabilities
- Influence stakeholders across the studio and company to align on direction and priorities
- Stay current with trends in data platforms, analytics, and AI/ML tooling
Wo You Are
- You have 2+ years of product management experience, ideally in data infrastructure, developer tools, or platform products
- You have a technical background, such as a degree in Computer Science/Engineering or prior hands-on engineering experience
- You are experienced in working with cross-functional teams across engineering, design, and data disciplines
- You know how to translate complex technical concepts into clear product direction and strategy
- You have a strong systems-thinking mindset and can connect workflows, platforms, and business needs
- You care deeply about the experience of people working with data and strive to make their workflows better
- You are curious about AI and excited about its impact on data ecosystems
- You communicate with clarity, bring people together, and build alignment across different audiences
Where You'll Be
- This role is based in London, Stockholm, or Toronto
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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